Piotr Kaniewski · technology law and AI
AI, data and IT contracts. Explained so you can actually decide.
I train teams, run webinars and build internal knowledge bases. For small and mid-sized companies adopting technology faster than regulation can follow.
- 12 years
- in technology law
- 100m+ PLN
- in the IT projects I have advised on
- 150+ contracts
- IT and implementation deals negotiated from scratch
- 300+ people
- trained in workshops and webinars
How this usually goes
Knowledge that stays in the company after I leave
A one-off training session impresses people for two weeks. So I work in stages — from the first conversation to materials your team still opens six months later.
- 01
We meet
A conference talk or an open webinar. No commitment, one concrete topic, and you know how I think.
- 02
I train your team
In-house training built on your own cases — not on textbook hypotheticals.
- 03
I leave the knowledge behind
We build a knowledge base inside your organisation: checklists, model clauses, procedures. Something you can come back to.
- 04
We keep it current
Regulation moves every quarter. A subscription keeps you on updated materials and new analysis.
Services
Four formats, one purpose
You pick the format, not the substance — the thinking is the same, only the delivery changes.
Conference talks
Substantive sessions on AI, regulation and contracting. No sponsored slides, no scaring the room.
- 20–60 minutes
- PL or ENG
- panel, keynote, workshop
In-house training
For legal, IT, procurement and boards. The programme follows what you actually buy and deploy.
- half a day to two days
- on site or remote
- materials you keep
Webinars
Short remote formats for distributed teams. The recording and materials stay with you.
- 60–90 minutes
- live Q&A
- recording included
Knowledge base for organisations
Your know-how, organised: procedures, checklists, model clauses, decision paths.
- audit of what you have
- structure and content
- handover to an owner
Areas
What I speak and write about
Six topics that keep getting in each other’s way. You rarely get to handle one without touching the rest.
Artificial intelligence
The AI Act in practice: risk classification, obligations, human oversight — and what the rules do not require at all.
GDPR and data
Personal data inside AI tools, impact assessments, processing agreements, transfers and the basis for training models.
Intellectual property
Rights to code, data and model output. Who is the author, what can be licensed, and what cannot be acquired at all.
IT procurement
How to buy without buying a problem: criteria, negotiation, engagement model and the way out of the contract.
IT contracting
Agile and DevOps agreements, cloud rollouts, SLAs, maintenance and liability for things nobody planned for.
AI ethics
The line between “lawful” and “defensible”. What you tell a client, an employee and a regulator when they ask why.
Knowledge base
Materials that keep up with the rules
Articles, checklists, model clauses and training recordings. Some of it open to everyone, some for subscribers.
The AI Act in a small company: what applies to you and what does not
Most companies are not high-risk system providers and do not need a risk management system. How to check which side of that line you are on.
Checklist: rolling out an AI tool in a team
Twenty questions to answer before signing with a vendor — from the legal basis to how you get out of the tool.
Model clauses: contracting with an AI vendor
Clauses on training data, rights to output, mid-term model changes and liability for hallucinations — annotated with what is actually negotiable.
Talks and media
Conferences, podcasts, recordings
A selection of talks and conversations. Looking for a speaker? The phone is fastest.
- Conference 2026
The AI Act in practice: what you must do, and what you only think you must
Industry conference (placeholder)
- Podcast 2025
Who is the author of code written by a model
Technology podcast (placeholder)
- Webinar 2025
An agile contract that survives an audit
Open webinar (placeholder)
References
What clients say
„Piotr stands out with a very strong grasp of the technology industry and a keen understanding of its legal nuances. A huge plus for his negotiation technique, which often won the day.”
„Piotr is an excellent lawyer who has a deep understanding of the IT sector and knows its best practices. He is also an excellent negotiator that cares about and understands the needs of his customers.”
Newsletter
One email a week
What changed in technology regulation and what it means for a company. No press round-ups, no “exciting news”.
Got a topic nobody in the company wants to touch?
It usually starts with one question about AI, or about a contract nobody understands. Write to me — I will tell you whether it is even my subject.